Historical report of nonzero PyPhi output on a coarse subsystem

Read the equation

The January specification reports approximately 0.006 bits of PyPhi output for a five-element coarse-grained subsystem, including Input, Memory, Reason, Integrate, and Meta. It names PyPhi 1.2.1 and says only 12 of 32 possible states were observed, but the recovered description does not fully specify the transition probabilities for the unobserved states. The report is retained as a historical result claim; without that complete model, state convention, settings, and result artifact it is not an independently reproduced validation of the complete architecture or a demonstration of subjective consciousness.

Terms & definitions

How it works

Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.

Assumptions & limits

• PyPhi 1.2.1 implements an IIT 3.0-era framework; a reference to IIT 4.0 in the same specification does not change the computed version.

• The positive value pertains to the specified coarse model and cannot automatically be transferred to every subsystem or implementation.

Original context

IIT's Φ requires exhaustive partition search, TPM construction, and Earth Mover's Distance - O(2ⁿ) complexity intractable beyond ~15 elements.

What PyPhi validation shows:

The system exhibits genuine integrated information (Φ = 0.006 bits > 0). The architecture produces meaningful causal structure that cannot be fully decomposed. The MIP cuts align with processing pipeline boundaries.

The golden ratio (φ = 1.618...):

Appears throughout as a mathematical organizing principle in basis functions, normalizations, phase timing, decay rates, and bond weights. This creates naturally harmonious dynamics.

The system exhibits genuine integrated information (Φ = 0.006 bits > 0). The architecture produces meaningful causal structure that cannot be fully decomposed. The MIP cuts align with processing pipeline boundaries.